New Features and Changes in Cloudera Data Science Workbench 1.3.0

Major features and updates for Cloudera Data Science Workbench.

  • Added support for SUSE Linux Enterprise Server 12 SP3.

  • Site administrators can now add template projects that are customized for their organization's use-cases.

  • Version 1.3 introduces a new environment variable for Python 3 sessions called PYSPARK3_PYTHON. Python 2 sessions will continue to use the default PYSPARK_PYTHON variable. This will allow you to configure distinct variables for Python 2 and Python 3 applications.

  • In the Cloudera Manager CDSW service, the Wildcard DNS Domain property has been renamed to Cloudera Data Science Workbench Domain.

  • Output for the cdsw version command now includes the type of deployment you are running – RPM or CSD.

  • Added log4j and spark-defaults sample configuration to the PySpark and Scala template projects.